retention-optimization

Name: retention-optimization
Availability: InStock
Author: lapaixkemsdortshlee-svg

Diagnose retention drops and generate prioritized churn-prevention tactics from cohort metrics.

Updated Apr 3, 2026

Search Tags:#engagement #activation #push notifications #retention #churn #win-back

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npx skills add https://github.com/lapaixkemsdortshlee-svg/AyitiMarket --skill retention-optimization-lapaixkemsdortshlee-svg

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Please help me install this Agent Skill.
Skill: retention-optimization
Source: https://github.com/lapaixkemsdortshlee-svg/AyitiMarket/tree/main/.agents/skills/retention-optimization
Command: npx skills add https://github.com/lapaixkemsdortshlee-svg/AyitiMarket --skill retention-optimization-lapaixkemsdortshlee-svg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you diagnose why users leave, identify where retention drops, and prioritize actions that bring users back more often.

Core Features & Use Cases

Retention diagnosis: Compare Day 1, Day 7, and Day 30 retention against category benchmarks to spot weak points.
Churn prevention: Design onboarding fixes, push notification plans, streaks, and habit loops that keep users engaged.
Win-back strategy: Create re-engagement campaigns and cancellation-flow responses for inactive or at-risk users.
Use case: A mobile marketplace sees strong installs but low repeat visits, so this Skill helps map the drop-off, explain likely causes, and recommend a phased action plan.

Quick Start

Share your current retention metrics, app category, monetization model, and engagement features so the Skill can produce a prioritized retention plan.

Frequently Asked Questions about retention-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I diagnose why my mobile app users are churning?▼

Diagnose user churn by comparing Day 1, Day 7, and Day 30 retention metrics against category benchmarks to identify specific engagement drop-offs. Analyzing cohort metrics and feature context helps prioritize targeted churn-prevention tactics for better activation.

What is the best way to improve user retention for a subscription product?▼

The best way to improve user retention is designing onboarding fixes, push notification plans, and habit loops that build consistent engagement. Applying churn prevention tactics like streaks and habit formation keeps subscription users active.

How do I create a win-back strategy for inactive marketplace users?▼

Create a win-back strategy by building re-engagement campaigns and cancellation-flow responses tailored for inactive or at-risk users. Mapping retention drop-offs allows you to generate prioritized recommendations that bring marketplace users back.

Can I use cohort metrics to fix low Day 1 retention in consumer apps?▼

Yes, you can use cohort metrics to fix low Day 1 retention by identifying early activation gaps in consumer apps. Comparing these retention metrics against benchmarks highlights weak points to target with onboarding fixes and engagement tactics.

Why does my marketplace see strong installs but low repeat visits?▼

Strong installs but low repeat visits indicate weak habit formation and activation gaps in your marketplace. Analyzing Day 7 and Day 30 retention performance helps explain likely causes and maps a phased action plan to lift retention.

What data do I need to reduce churn and lift user retention?▼

To reduce churn and lift user retention you need retention benchmarks, cohort metrics, app category details, monetization model, and engagement features. Providing this feature context enables the generation of a prioritized retention plan.